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Find The Italian Brainrot [50]

Find The Italian Brainrot [50]

A Roblox experience owned by Blazing Junk Productions.

AdventureENcollectathonbrainrot memeexploration

Description (written by the developer; not a statement by this register)

✨Welcome to Find The Italian Brainrot! ✨ Travel through wild biomes — from sunny Plains 🌾 and deep Jungles 🌴 to icy Snow Forests ❄️, fiery Lava Lands 🌋, and mysterious Caves 🪨. Each area is packed with silly Italian Brainrots waiting to be found! Chat with Brainrots 💬, take on fun quests 🎯, and solve puzzles 🧩 as you explore. Feel free to use the in game timer for speed-runs and share your records! ⏰ Total Brainrots to find: 50 🔍 🏆Next update at 1K likes🏆 ✨ Like and favorite the game and join our group for a more games! ✨

Last updated by the developer 1 May 2026, 05:49 UTC.

0
playing (measured 20 Aug 2026, 08:20 UTC)
1,691
lifetime visits
100%
liked (1 👍 / 0 👎)
5
favourites (3.0 per 1k visits)
1 May 2025
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
20 Aug 2026, 08:200first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Webshooter
299 R$
Skateboard
149 R$
Meme Finder
99 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

Find 1 · collection871 · 0.00% win
Find 10 · collection241 · 0.00% win
Find 25 · collection51 · 0.00% win
Find 50 · collection5 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.